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Intelligent Enterprise Systems

Overview

Building on advanced AI-based technologies, today's enterprise systems become increasingly intelligent generating significant interest within the scientific and business community. Furthermore, many machines and other devices will receive an IP address in the (near) future and connect to the web in the 'internet of things' offering even more accessible data. Finally, we see an increasing amount of sensors capturing neuro-physiological data from humans at work and private life. Certainly, this ubiquitous computerization of business and society has tremendously progressed the ability to gather, transform and analyze data.

However, human cognitive abilities to interpret this avalanche of data, that is, to extract meaning from data, is limited, particularly in real-time environments where speed is fundamental. Thus, we need to comprehend how to support human abilities to consume information in complex, real-time technological environments. To achieve this aim, we are investigating and designing next-generation enterprise systems with a specific focus on (1) Flow Computing Systems and (2) Interactive Business Intelligence & Analytics Systems.

Research Topics

In the research department "Intelligent Enterprise Systems" we are currently investigating the following specific research topics. 

Flow Computing Systems
  • Physiolytics
  • Flow Measurement with Physiological Data
  • Flow-Adaptive Enterprise Systems
Interactive Business Intelligence & Analytics Systems
  • Interactive Machine Learning Systems
  • Self-Service Analytics
  • Real-Time Dashboards

The publications listed below provide further insights on recent results of our research activities.

Organization

Head of Area

Mario Nadj Dr. Mario Nadj
Phone: +49 721 608-41584
mario.nadj∂kit.edu

Members

Michael Knierrim Michael Knierim
+49 (721) 608-41583
michael.knierim∂kit.edu
  Nico Loewe
+49 721 608-41586
nico.loewe∂kit.edu
  Miguel Martinez
+49 721 608-41583
miguel.martinez∂kit.du
Raphael Rissler Raphael Rissler
+49 721 608-41583
raphael.rissler∂kit.edu
  Merlin Knäble

merlin.knaeble∂partner.kit.edu
  Maximilian Li

maximilian.li∂student.kit.edu

Selected Projects

Selected Projects
Title Contact


Selected Publication


2019
2018
Exploring Flow Psychophysiology in Knowledge Work.
Knierim, M. T.; Rissler, R.; Hariharan, A.; Nadj, M.; Weinhardt, C.
2018. Information systems and neuroscience : NeuroIS Retreat 2018, [Wien, 19.-21.06.2018]. Ed.: Fred D. Davis, 239–249, Springer, Cham. doi:10.1007/978-3-030-01087-4_29
BrownieR - The R-Package for Neuro Information Systems Research.
Michalczyk, S.; Jung, D.; Nadj, M.; Knierim, M.; Rißler, R.
2018. Information systems and neuroscience : NeuroIS Retreat 2018, [Wien, 19.-21.06.2018]. Ed.: Fred D. Davis, 101–109, Springer, Cham. doi:10.1007/978-3-030-01087-4_12
Flow Neurophysiology in Knowledge Work: Electroencephalographic Observations from Two Cognitive Tasks.
Knierim, M. T.; Nadj, M.; Hariharan, A.; Weinhardt, C.
2018. Proceedings of the 5th International Conference on Physiological Computing Systems (PhyCS 2018), Seville, E, September 19-21, 2018. Ed.: J.M. Belda Lois, 42–53, SciTePress, Sevilla
Designing Uncertainty-Aware Dashboards for Software Development Projects.
Knaeble, M.; Nadj, M.; Maedche, A.
2018. 13th International Conference on Design Science Research in Information Systems and Technology (DESRIST), Chennai, IND, June 3-6, 2018, 1–15
Exploring Flow Psychophysiology in Knowledge Work.
Knierim, M. T.; Rissler, R.; Hariharan, A.; Nadj, M.; Weinhardt, C.
2018. Proceedings of the NeuroIS Retreat 2018 : Preprint Proceedings Part 2, Vienna, A, June 19-21, 2018. Ed.: Fred Davis, 10 S
BrownieR - The R-Package for Neuro Information Systems Research.
Michalczyk, S.; Jung, D.; Nadj, M.; Knierim, M.; Rißler, R.
2018. Proceedings of the NeuroIS Retreat 2018 : Preprint Proceedings Part 1, Vienna, A, June 19-21, 2018. Ed.: Fred Davis, 9 S
Got Flow? Using Machine Learning on Physiological Data to Classify Flow.
Rissler, R.; Nadj, M.; Li, M. X.; Knierim, M. T.; Maedche, A.
2018. Proceedings of the Conference on Human Factors in Computing Systems (CHI), Montréal, Canada, 21st - 26th April 2018, Art.Nr. LBW612, ACM, New York (NJ). doi:10.1145/3170427.3188480
2017
Flow-Erfassung am Arbeitsplatz: Aktueller Stand der Forschung und innovative Anwendungsszenarien.
Rissler, R.; Nadj, M.; Maedche, A.; Koppenhagen, N.
2017. Wirtschaftsinformatik & Management, 9 (6), 12–21. doi:10.1007/s35764-017-0116-0
The psychophysiology of flow: A systematic review of peripheral nervous system features.
Knierim, M. T.; Rissler, R.; Dorner, V.; Maedche, A.; Weinhardt, C.
2017. Information Systems and Neuroscience - Gmunden Retreat on NeuroIS 2017. Ed.: F. D. Davis, 109–120, Springer, Cham. doi:10.1007/978-3-319-67431-5_13
The impact of IT-mediated interruptions on flow and task performance.
Rissler, R.
2017. Doctoral Consortium Proceedings of the 25th European Conference on Information Systems (ECIS), Guimarães, Portugal, 5-10 June 2017
Towards an integrative theoretical framework of IT-mediated interruptions.
Rissler, R.; Nadj, M.; Adam, M.; Mädche, A.
2017. Proceedings of the 25th European Conference on Information Systems (ECIS), Guimarães, Portugal, 5-10 June 2017, 1950–1967, AIS Electronic Library (AISeL), Atlanta
Towards a Taxonomy of Real-Time Business Intelligence Systems.
Nadj, M.; Schieder, C.
2017. 25th European Conference on Information Systems (ECIS 2017), Guimarães, P, June 5-10, 2017. Proceedings, Tap Portugal, Lissabon
Flow in Information Systems Research: Review, Integrative Theoretical Framework, and Future Directions.
Rissler, R.; Nadj, M.; Adam, M. T. P.
2017. 13th International Conference on Wirtschaftsinformatik, Wirtschaftsinformatik 2017 (WI-2017), St. Gallen, 12-15 February 2017, 1051–1065
2016
Process Intelligence for the Digital Age – Process Visibility Meets Process Mining.
Volmering, T.; Nadj, M.; Trump, R.; Maedche, A.
2016. Proceedings of the 14th International Conference, BPM 2016, Rio de Janeiro, Brazil, September 18-22, 2016, 1–13, Springer, Cham
A Situation Awareness Driven Design for Predictive Maintenance Systems: The Case of Oil and Gas Pipeline Operations.
Nadj, M.; Jegadeesan, H.; Maedche, A.; Hoffmann, D.; Erdmann, P.
2016. Proceedings of the 24th European Conference on Information Systems, Istanbul, Turkey, June 12-15, 2016, 1–10
Quo Vadis Real-Time Business Intelligence? A Descriptive Literature Review and Future Directions.
Nadj, M.; Schieder, C.
2016. Proceedings of the 24th European Conference on Information Systems, Istanbul, Turkey, June 12-15, 2016, 1–21
Real-Time Business Intelligence: Eine systematische Identifikation aktueller Forschungsbedarfe.
Blaser, F.; Nadj, M.; Schieder, C.
2016. Multikonferenz Wirtschaftsinformatik (MKWI) 2016: Research-in-Progress- und Poster-Beiträge, Technische Universität Ilmenau, 09.-11. März 2016. Hrsg.: V. Nissen, 1367–1378, Universitätsverlag Ilmenau, Ilmenau
Designing a supply network artifact for data, process, and people integration.
Koppenhagen, N.; Müller, B.; Mädche, A.; Li, Y.; Hiller, S.
2016. Information systems and e-business management, 14 (3), 613–636. doi:10.1007/s10257-015-0296-1
The Smart Mobile Application Framework (SMAF) - Exploratory Evaluation in the Smart City Contex.
Nadj, M.; Haeußler, F.; Wenzel, S.; Maedche, A.
2016. Multikonferenz Wirtschaftsinformatik (MKWI) 2016, Technische Universität Ilmenau, 09.-11. März 2016, Band 3. Hrsg.: V. Nissen, 1367–1378, Universitätsverlag Ilmenau, Ilmenau
2015
The Effect of Recommender Systems on Users’ Situation Awareness and Actions.
Kretzer, M.; Nadj, M.; Mädche, A.
2015. ICIS 2015 Proceedings : 36th International Conference on Information Systems: Exploring the Information Frontier, Fort Worth, United States, December 13-16, 2015, 1–12, Association for Information Systems, Atlanta (GA)
Towards a Situation-Awareness-Driven Design of Operational Business Intelligence & Analytics Systems.
Nadj, M.; Morana, S.; Mädche, A.
2015. At the Vanguard of Design Science: First Impressions and Early Findings from Ongoing Research. 10th International Conference on Design Science Research in Information Systems and Technology (DESRIST), Dublin, Ireland, 20-22 May 2015. Ed.: B. Donnellan, 33–40, University College, Cork
2013
Design Principles for Supply Network Systems. Dissertation.
Koppenhagen, N.
2013. Universitätsbibliothek Mannheim, Mannheim
2012
Design Science Research in Action - Anatomy of Success Critical Activities for Rigor and Relevance.
Koppenhagen, N.; Gaß, O.; Müller, B.
2012. 20th European Conference on Information Systems (ECIS 2012), Barcelona, Spain, June 10-13, 2012
How Do Procurement Networks Become Social? Design Principles Evaluation in a Heterogeneous Environment of Structured and Unstructured Interactions.
Koppenhagen, N.; Katz, N.; Mädche, A.; Müller, B.
2012. International Conference on Information Systems (ICIS), Shanghai, China, 4-7 December 2011. Vol. 5, 3635–3653, Curran, Red Hook (NY)
Anatomy of knowledge bases used in design science research : A literature review.
Gaß, O.; Koppenhagen, N.; Biegel, H.; Maedche, A.; Müller, B.
2012. Design Science Research in Information Systems. Advances in Theory and Practice : 7th International Conference (DESRIST), Las Vegas, USA, May 14-15, 2012. Ed.: K. Peffers, 328–344, Springer, Berlin. doi:10.1007/978-3-642-29863-9_24
2010
Towards Collaborative Procurement Network Enterprise Systems - A Design Science Research Project.
Koppenhagen, N.; Mädche, A.
2010. Pre-ICIS, Workshop on Enterprise Systems, Saint Louis, USA, 11.12.2010
2007
Das Schließen des Kreislaufs im Einkauf mit mySAP SRM.
Koppenhagen, N.; Thome-Fix, V.
2007. Elektronische Beschaffung : Stand und Entwicklungstendenzen. Hrsg.: W. Brenner, 161–189, Springer, Berlin. doi:10.1007/978-3-540-34018-8_8